Table 8.
Model | Sensitivity | Precision | F1-Score | Accuracy |
---|---|---|---|---|
NSCGCN [17] | 87.50% | 87.37% | 87.50% | 98.04% |
PNA-GCN [9] | 95.43% | 98.51% | 98.63% | 97.79% |
ResGNet-C [65] | 95.91% | 96.65% | 96.21% | 96.62% |
Efficient-B4-FPN [66] | 91.01% | 89.13% | 95.96% | 95.36% |
GraphSAGE [67] | 63.83% | 76.59% | 58.90% | 63.83% |
DeepChestGNN (ours) | 98.72% | 98.71% | 98.71% | 99.74% |